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Is it possible to build a new train station on extremely unstable ground in the middle of a densely built-up city center? For Norconsult and Bane NOR, this was not an academic question, but a reality in the Moss Station project. With the help of a network of digital ground sensors that record everything from settlement and vibrations to pore pressure, the teams can measure ground reactions in real time and feed the data directly back into the shared BIM model. This creates transparency, enables early risk detection, and allows decisions to be made based on data instead of gut feelings. The shared digital platform, including digital twins, gives everyone involved an up-to-date overview of progress, risks, and conflicts, ensuring more efficient coordination and less rework. This leads to: - Safety even in difficult ground conditions - Decisions based on live data instead of assumptions - Better collaboration from planning to construction Watch the video and see how digital twins and real-time data make complex rail projects possible ➡️ https://lnkd.in/dSKzrNM9

Is it possible to build a new train station on extremely unstable ground in the middle of a densely built-up city center? For Norconsult and Bane NOR, this was not an academic question, but a reality in the Moss Station project. With the help of a network of digital ground sensors that record everything from settlement and vibrations to pore pressure, the teams can measure ground reactions in real time and feed the data directly back into the shared BIM model. This creates transparency, enables early risk detection, and allows decisions to be made based on data instead of gut feelings. The shared digital platform, including digital twins, gives everyone involved an up-to-date overview of progress, risks, and conflicts, ensuring more efficient coordination and less rework. This leads to: - Safety even in difficult ground conditions - Decisions based on live data instead of assumptions - Better collaboration from planning to construction Watch the video and see how digital twins and real-time data make complex rail projects possible ➡️ https://lnkd.in/eJpngm-E

From BIM modeling to operational use: The REWING MARINE case study. This project illustrates our approach at PROMISTEEL: 1. Structural optimization: 30m span without intermediate support, 18% reduction in steel tonnage. 2. Process integration: Runway for a 20t overhead crane integrated from the structural phase. 3. Versatility: Designed for mixed dynamic loads: aeronautics, marine, and heavy storage. Result: A scalable building, deliverable in 12 to 16 weeks, compliant with Eurocode 3. We support Technical Departments and Investors on industrial projects in West Africa. Let's discuss your next industrial site.

🌉 How do you build a massive 12.5 km bridge over complex, unpredictable underwater terrain? For Brazil's Salvador-Itaparica Bridge, Sener Mobility swapped traditional 2D workflows for a digital-first approach using Seequent’s, the Bentley Subsurface Company, Leapfrog Works and PLAXIS. The results show exactly why digital subsurface workflows are essential for modern municipal projects: ⏱️ 1,000 work hours saved and up to 20% faster design delivery. 📉 15% reduction in costly design changes during construction. 🎯 20% to 30% faster geological interpretation with optimized pile designs. Why this matters for your city: Mitigating geological risk early means projects are delivered faster, tax dollars are saved, and the long-term safety of critical community connections is guaranteed At Bentley Systems, we help cities and engineers eliminate subsurface guesswork to build safer, more reliable cities and infrastructure. 🚀 🔗 Read the full project profile to see the power of 3D geotechnical modeling: https://lnkd.in/evF_AwXE #BentleySystems #DigitalCities #BridgeEngineering #Geotechnical #PLAXIS #LeapfrogWorks #Infrastructure Follow us on LinkedIn.

Metro construction in developed countries is a highly planned, technology-driven process focused on safety, efficiency, minimal disruption to the public, and long-term durability. Most projects use advanced surveying, digital modeling (BIM), automated monitoring, and modern tunneling techniques.

Bridging Subsurface Utility Engineering (SUE) and GIS: Field Geophysics to Digital Twins 🌐⚡ Accurate subsurface utility mapping is critical for modern infrastructure—yet a major gap often exists between field geophysical detection and GIS geodatabase integration. High-resolution field scanning only delivers real value when backed by structured spatial data and strict attribute management. 🔹 The Core Workflow ASCE 38-22 Compliance: Combining multi-frequency GPR and EML to detect and classify utility confidence tiers (QL-A to QL-D) directly within GIS attribute tables. Beyond 2D Drafts: Storing utility depth, pipe diameter, material, and signal quality into an Esri Utility Network transforms static CAD lines into dynamic 3D spatial assets. RTK-GNSS Precision: Pairing survey-grade positioning with GPR trace lines ensures cm-level accuracy, eliminating positional drift for BIM and smart city integration. ⚖️ Operational Reality: Trade-Offs The Pros: Prevents catastrophic utility strikes, creates scalable municipal databases, and bridges field geophysics with civil engineering designs. The Cons: High capital cost (GPR/RTK/GIS software), massive dataset processing times, and heavy reliance on operator interpretation. ⚠️ Real-World Field Constraints Soil Physics Limitations: High soil salinity and heavy clay attenuate GPR signals, severely limiting depth penetration. Urban Congestion: Dense utility corridors create electromagnetic coupling and GPR signal clutter. CAD-to-GIS Shift: Inaccurate transformations between local CAD grids and global GIS coordinates cause spatial displacement. Non-Metallic Targets: PVC, PE, and un-traced fiber lines rely entirely on favorable GPR soil contrast since EML cannot detect them. The Takeaway: Geophysics locates the utility; GIS preserves its value. Integrating both reduces subsurface risk and protects critical infrastructure. Hashtags: #SubsurfaceUtilityEngineering #SUE #GIS #Geodatabase #GPR #EML #UtilityMapping #NearSurfaceGeophysics #CivilEngineering #ASCE3822 #DigitalTwin #Geospatial

There are 5 ways engineers estimate wind loads on structures: 1. Building codes. Prescribed design wind speeds and pressure coefficients based on location, terrain and building geometry. 2. Wind tunnel testing. These are scaled physical models in a boundary-layer wind tunnel. This is still the industry gold standard for complex or landmark structures. 3. CFD simulation. Very popular these days because no physical model is requred. It represents numerical solution of the flow field around a structure. 4. Full-scale measurements. Instrumented buildings recording actual pressure and response in real storms. This is the most expensive and rarest appraoch, but the only ground truth. 5. Database-assisted design. This approach combines wind tunnel pressure databases with structural analysis to optimize member-by-member design rather than applying a single envelope load. Which of these do you think will define wind engineering practice in the next 10 or so years? #WindEngineering #WeatherWind #StructuralEngineering #CFD #WindTunnel #WindLoad

An engineering measurement rarely means much by itself. A moisture reading is evidence. A crack photograph is evidence. A vibration measurement is evidence. A UPV result is evidence. But engineering intelligence requires more than the number. It requires context. Where was it measured? Which element does it belong to? What has happened there before? What other evidence exists? What is happening around it? What does the asset history show? This is why ANROL is being designed to connect engineering evidence with asset and spatial context. Evidence Location Asset History Knowledge ↓ Engineering Intelligence This is where BIM becomes more than a model. It becomes a potential spatial index of engineering evidence and asset intelligence. The objective is not simply to know that something happened. It is to understand where it happened, what it belongs to, what happened before, and what it may mean. ANROL Intelligence Engineering evidence becomes more valuable when it has context. #ANROL #ANROLIntelligence #EngineeringIntelligence #BIMIntelligence #EngineeringEvidence #AssetIntelligence #SpatialIntelligence #DigitalTwin #BuiltEnvironment

Some assumptions sound right because we've heard them for years. That doesn't make them true. A clash-free model is one of them. Clash detection is an important milestone, but it isn't the finish line. Installation sequence, maintenance access, code requirements, procurement, and constructability all influence whether a coordinated model will actually work in the field. A clash report tells you where systems intersect. It doesn't tell you whether the project is ready to build. 💬 What's another industry myth you think needs a reality check? MaRS BIM Solutions #BIMCoordination #VDC #ConstructionManagement #IndustryMyth #MaRSBIMSolutions